Polygons#

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import hvplot.pandas  # noqa

Using hvplot with geopandas is as simple as loading a geopandas dataframe and calling hvplot on it with geo=True.

import geopandas as gpd

countries = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))
countries.sample(5)
pop_est continent name iso_a3 gdp_md_est geometry
147 108116615.0 Asia Philippines PHL 376795 MULTIPOLYGON (((120.83390 12.70450, 120.32344 ...
73 1148130.0 Africa eSwatini SWZ 4471 POLYGON ((32.07167 -26.73382, 31.86806 -27.177...
84 9770529.0 Asia United Arab Emirates ARE 421142 POLYGON ((51.57952 24.24550, 51.75744 24.29407...
72 30366036.0 Africa Mozambique MOZ 15291 POLYGON ((34.55999 -11.52002, 35.31240 -11.439...
107 82913906.0 Asia Iran IRN 453996 POLYGON ((48.56797 29.92678, 48.01457 30.45246...
countries.hvplot(geo=True)

Control the color of the elements using the c option.

countries.hvplot.polygons(geo=True, c='pop_est', hover_cols='all')

You can even color by another series, such as population density:

countries.hvplot.polygons(geo=True, c=countries.pop_est/countries.area, clabel='pop density')
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Download this notebook from GitHub (right-click to download).